Software Engineering Daily

Software Engineering Daily

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Software Engineering Daily episodes

  • Permit Elements and Fullstack Authorization with Or Weis
    Permissions are Hard! And they are becoming harder as we move more into the Cloud-native ecosystem. If we go back in time to the point where it was just a single monolith that you were building on your own. You’ll probably have a framework to manage the permissions for you. But when you are working
    1 hr
  • Databricks Unity Catalog with Zeashan Pappa
    Data catalogs are one way to address the tension between wanting to use all the data for business advantage and needing to govern all the data for compliance. Today, Zeashan Pappa, a Databricks Product Specialist for the Unity Catalog, joins us to discuss how catalogs can help companies capture the full value of their data.
    48 min
  • Webhooks at Scale with Alexandre Bouchard
    Webhooks are used in connecting two different online applications. Webhooks allow one program to send data to another as soon as a certain event takes place.And because they are event-driven, webhooks are ideal for things like real-time notifications and data updates. The company Hookdeck helps build webhook integrations at scale. In this episode, we talk
    58 min
  • Caching at Twitter with Yao Yue
    Twitter is a social media platform that does some incredibly complex stuff when it comes to distributed systems engineering to keep the website up and running. Twitter has open sourced a lot of projects for others to use. Twitter created a fork of Memcached called Twemcache and also a fork of Redis to handle the
    51 min
  • Cloud Native Compiler with John Ceccarelli
    Java is a write once run anywhere programming language. The way you do that is you use the javac compiler and compile the source files down to the class files. Those class files can run on any system in interpreted mode. But those class files that are run in interpreted mode, they are not machine
    42 min
  • MLOps Systems at Scale with Krishna Gade
    Although we like to think about ML workflows as straight-line narratives from experiment to training to production, and then finally monitoring; the reality for large companies is that all the steps are happening at one time in concert with other models, with shifting data, and, sometimes, misaligned key feature inputs. Moreover, regulated firms are required
    50 min
  • Optimizing Cloud Data Platforms with Mingsheng Hong
    Mingsheng Hong, is CEO and co-founder (along with Zheng Shao) of Bluesky. He is a thought leader for machine learning and has built data infrastructure to support some of the world’s most challenging workloads. Most recently, Mingsheng was at Google, where he led teams to build storage and querying stacks that power Google’s $100 billion
    56 min

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Technical interviews about software topics.

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